Data Engineer

An exciting opportunity awaits you to join a pioneering company in the energy and power sector.

What you'll do:

• Identify, design, and implement automated processes such as billing systems, alert mechanisms, query usage analysis, and resource monitoring to optimise internal operations.
• Ideate, iterate on, design, and build new features from scratch or enhance existing commercial projects to deliver additional value for platform users.
• Provide constructive feedback or contribute directly to platform feature improvements alongside the Data Infrastructure & Products team to boost efficiency and capabilities.
• Lead end-to-end delivery of commercial projects by managing timelines, resources, and technical execution from inception through completion.
• Collaborate with cross-functional teams to understand complex data requirements and develop tailored solutions that address specific business needs.
• Participate in client-facing meetings to finalise project details, clarify requirements, provide updates, and ensure alignment between stakeholders.
• Design and implement configurable data pipelines for ingestion, transformation, reverse ETL processes based on detailed client functional requirements.
• Develop comprehensive data quality checks at multiple checkpoints to ensure accuracy, completeness, and consistency throughout all stages of data processing.
• Work closely with Machine Learning engineers to create and maintain ML data pipelines for training models, batch inference tasks, deployment workflows, validation routines, and ongoing monitoring.
• Assist in troubleshooting and resolving any issues related to data integrity or pipeline performance while maintaining clear documentation.

What you bring:

• A Bachelor’s degree in Computer Science, Engineering or a related discipline provides you with a solid academic foundation for tackling complex technical challenges.
• Proficiency in SQL and Python enables you to efficiently manipulate large datasets and automate repetitive tasks within various environments.
• A thorough understanding of conventional database concepts ensures you can design effective storage solutions that meet evolving business needs.
• Hands-on experience with modern data warehouse architectures (such as lakehouse or lake) empowers you to build scalable systems capable of handling vast amounts of information.
• Practical knowledge of cloud platforms like AWS, Azure or GCP allows you to deploy resilient infrastructure that supports high-availability applications.
• Demonstrated analytical skills help you break down intricate problems into manageable components while identifying optimal solutions quickly.
• Experience implementing comprehensive Data Quality Checks guarantees the reliability of insights derived from processed information.
• Familiarity with data processing frameworks such as dbt streamlines your ability to transform raw inputs into actionable outputs efficiently.
• Expertise using integration tools like Airflow enhances your capacity for orchestrating complex ETL workflows across distributed systems.
• Exposure to modern warehouse/lakehouse solutions (e.g., Delta Lake, Redshift or Snowflake) equips you with versatile skills applicable across multiple platforms.
• Working knowledge of Databricks (on either Azure or AWS) combined with an understanding of Spark positions you well for advanced analytics tasks.
• Excellent communication abilities foster smooth collaboration within multidisciplinary teams while ensuring clarity when interacting with clients or stakeholders.
• Self-motivation paired with a passion for continuous learning drives your commitment towards personal growth and staying current with industry trends.

What sets this company apart:

This organisation stands out as one of Makati’s most promising start-ups dedicated exclusively to harnessing the power of data science and artificial intelligence for meaningful societal impact. Here you’ll find an inclusive culture that values knowledge sharing just as much as technical excellence—ensuring everyone has access to mentorship regardless of experience level. Flexible working opportunities allow you to balance professional ambitions with personal commitments without compromise. The leadership team is deeply invested in nurturing talent through regular training sessions designed around emerging industry trends so that every member remains ahead of the curve. Collaboration is woven into every aspect of daily operations; whether brainstorming new features or refining existing processes together with colleagues from diverse backgrounds fosters genuine camaraderie among peers. By joining this team not only do you gain exposure to cutting-edge technology stacks but also become part of a supportive network committed towards collective success—making it an ideal place for those who wish their work could truly make a difference beyond business metrics alone.

What's next:

If you're ready to take your career in data engineering further while making an impact alongside passionate professionals—this is your moment!

Apply today by clicking on the link provided below; seize this chance to shape tomorrow’s world through transformative data solutions.

Due to the high volume of applications we are experiencing, our team will only be in touch with you if your application is shortlisted.